Triple

T3986665
Position Surface form Disambiguated ID Type / Status
Subject Atakule E86887 entity
Predicate revolvingRestaurantName P52138 FINISHED
Object Sevilla E359506 NE FINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sevilla | Statement: [Atakule, revolvingRestaurantName, Sevilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sevilla
Context triple: [Atakule, revolvingRestaurantName, Sevilla]
  • A. Malaga
    Malaga is a white wine grape variety name historically used as a synonym for Sémillon in certain wine-growing regions.
  • B. Seville chosen
    Seville is a historic Spanish city in Andalusia renowned for its rich Moorish and Christian heritage, iconic landmarks like the Giralda and Alcázar, and vibrant cultural traditions such as flamenco.
  • C. Málaga
    Málaga is a historic port city on Spain’s Costa del Sol, renowned for its Mediterranean beaches, rich Andalusian culture, and as the birthplace of artist Pablo Picasso.
  • D. Valencia
    Valencia is a major Spanish coastal city known for its historic architecture, vibrant culture, and significant role as a key Mediterranean trade and tourism hub.
  • E. Valencia
    Valencia is a municipality in the Philippine province of Negros Oriental known for its cool climate, geothermal energy resources, and natural attractions such as waterfalls and mountain landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: revolvingRestaurantName
Context triple: [Atakule, revolvingRestaurantName, Sevilla]
  • A. hasRevolvingRestaurant chosen
    Indicates that one entity features or contains a restaurant that rotates around a central axis, typically providing a 360-degree view.
  • B. restaurantName
    Indicates the name assigned to a restaurant as its identifying label.
  • C. isDiningDestination
    Indicates that a place serves as a destination where people go specifically to eat meals or dine.
  • D. hasRestaurant
    Indicates that one entity possesses, operates, or contains a restaurant associated with it.
  • E. alsoEats
    Indicates that an entity consumes something in addition to another item or items it already eats.
  • F. None of above.

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb81040481909b22e4c445ecae0f completed March 9, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb8f4eab88190b123aca20feb8d63 completed March 20, 2026, 9:15 p.m.
PD Predicate disambiguation batch_69aef8f692008190bf4d637ffc3d3eaa completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:33 p.m.